51. The genetics of Richter syndrome reveals disease heterogeneity and predicts survival after transformation
- Author
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Luigi Maria Larocca, Valeria Spina, Marco Paulli, Julie Chang, Carlo Visco, Theodora Papadaki, Marco Lucioni, Caroline Besson, Ekaterina Chigrinova, Zijun Y. Xu-Monette, Luca Laurenti, Ken H. Young, Gianluca Gaidano, Valter Gattei, Clara Deambrogi, Roberto Marasca, Francesco Bertoni, Silvia Rasi, Davide Rossi, Kostas Stamatopoulos, Luca Arcaini, Gabrielle B. Rocque, Robin Foà, Stefano Pileri, Francesco Forconi, Rossi D, Spina V, Deambrogi C, Rasi S, Laurenti L, Stamatopoulos K, Arcaini L, Lucioni M, Rocque GB, Xu-Monette ZY, Visco C, Chang J, Chigrinova E, Forconi F, Marasca R, Besson C, Papadaki T, Paulli M, Larocca LM, Pileri SA, Gattei V, Bertoni F, Foà R, Young KH, and Gaidano G.
- Subjects
p53 ,Male ,Oncology ,Chronic lymphocytic leukemia ,Cell Transformation ,Biochemistry ,Cohort Studies ,80 and over ,Multicenter Studies as Topic ,genetics ,Aged, 80 and over ,Hematology ,Adult, Aged, Aged ,80 and over, Algorithms, Cell Transformation ,Neoplastic ,genetics, Cohort Studies, Female, Genes ,genetics, Genetic Heterogeneity, Humans, Immunologic Deficiency Syndromes ,complications/diagnosis/genetics/mortality, Male, Middle Aged, Molecular Diagnostic Techniques, Multicenter Studies as Topic, Mutation ,physiology, Prognosis, Survival Analysis ,Hazard ratio ,Middle Aged ,Prognosis ,Cell Transformation, Neoplastic ,Molecular Diagnostic Techniques ,Female ,Algorithms ,Adult ,medicine.medical_specialty ,Immunology ,Context (language use) ,Richter's transformation ,Genetic Heterogeneity ,richter syndrome ,Internal medicine ,medicine ,Humans ,Survival analysis ,Aged ,business.industry ,Genetic heterogeneity ,complications/diagnosis/genetics/mortality ,Immunologic Deficiency Syndromes ,Cell Biology ,Genes, p53 ,Mutation ,Survival Analysis ,medicine.disease ,Lymphoma ,Settore MED/15 - MALATTIE DEL SANGUE ,Genes ,physiology ,Richter syndrome ,business - Abstract
Richter syndrome (RS) represents the development of diffuse large B-cell lymphoma in the context of chronic lymphocytic leukemia. The scarcity of biologic information about RS has hampered the identification of molecular predictors of RS outcome. We addressed this issue by performing a comprehensive molecular characterization of 86 pathologically proven RS. TP53 disruption (47.1%) and c-MYC abnormalities (26.2%) were the most frequent alterations, whereas common genetic lesions of de novo diffuse large B-cell lymphoma were rare or absent. By multivariate analysis, lack of TP53 disruption (hazard ratio, 0.43; P = .003) translated into significant survival advantage with 57% reduction in risk of death. An algorithm based on TP53 disruption, response to RS treatment, and Eastern Cooperative Oncology Group performance status had 80.9% probability of correctly discriminating RS survival (c-index = .809). RS that were clonally unrelated to the paired chronic lymphocytic leukemia phase were clinically and biologically different from clonally related RS because of significantly longer survival (median, 62.5 months vs 14.2 months; P = .017) and lower prevalence of TP53 disruption (23.1% vs 60.0%; P = .018) and B-cell receptor stereotypy (7.6% vs 50.0%; P = .009). The molecular dissection of RS into biologically distinct categories highlights the genetic heterogeneity of this disorder and provides clinically relevant information for refining the prognostic stratification of patients.
- Published
- 2011